Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called 'segmentation' and it enables a range of applications, such as analyzing the reaction of cells to drug treatments, or comparing cell structures in different genotypes. It was already possible to carry out automatic segmentation of those biological structures but the dedicated methods only worked in specific conditions and adapting them to new conditions was costly. An international research team has now developed a method by retraining the existing AI-based software Segment Anything on over 17,000 microscopy images with over 2 million structures annotated by hand.
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